Molecular dynamic modeling and simulation for polymers
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- Publication date
- 2012-03-14 17:48:29
- Topics
- Embedded Atom Method, Lennard Jones Potential, Metallic Potential, Molecular Dynamics, Molecular dynamics, Polymers, Shear Modulus
- Publisher
- Monterey, California. Naval Postgraduate School
- Collection
- navalpostgraduateschoollibrary; fedlink
- Language
- English
- Rights
- This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Polymers have been widely used in various engineering applications. For more than a quarter century, the materials have been utilized intensively for the binding materials for composites. The material properties of the binding materials called matrix materials play an important role for the composite material behaviors. As a result, the objective of this study was to understand the mechanical properties of polymers. In particular, the goal was to develop insights as to how a molecular level structure is connected to the bulk properties of materials assuming homogeneity. To this end, molecular dynamics was used to model and simulate the polymeric behaviors. Polymeric chains were modeled using the bead and spring model along with interacting potentials. The study examined the effects of different sizes, densities, and numbers of molecules per chain on the shear moduli of the polymers. Furthermore, some preliminary study was also conducted for metallic particle reinforced polymer composites.
- Addeddate
- 2019-04-26 12:42:30
- Advisor
- Kwon, Young W.
- Degree_grantor
- Naval Postgraduate School
- Degree_level
- Masters
- Degree_name
- M.S. in Mechanical Engineering
- Department
- Mechanical Engineering
- Distributionstatement
- Approved for public release; distribution is unlimited.
- Dspace_note
- Note, the Item of Record as published can be found at https://hdl.handle.net/10945/6313.
- External-identifier
- urn:handle:10945/6313
- Foldoutcount
- 0
- Identifier
- moleculardynamic109456313
- Identifier-ark
- ark:/13960/t75v17k0s
- Item_source
- dspace
- Ocr
- tesseract 5.2.0-1-gc42a
- Ocr_detected_lang
- en
- Ocr_detected_lang_conf
- 1.0000
- Ocr_detected_script
- Latin
- Ocr_detected_script_conf
- 0.9042
- Ocr_module_version
- 0.0.18
- Ocr_parameters
- -l eng
- Orig_md5
- adf01eda964ce6783f82033af85615e6
- Page_number_confidence
- 74.63
- Pages
- 68
- Ppi
- 300
- Scanner
- Internet Archive Python library 1.8.1
- Service
- Lieutenant, United States Navy
- Type
- Thesis
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